Applied Multivariate Statistical Modeling Course | IIT Kharagpur NPTEL | Prof. Jhareswar Maiti
Course Details
| Exam Registration | 59 |
|---|---|
| Course Status | Ongoing |
| Course Type | Core |
| Language | English |
| Duration | 12 weeks |
| Categories | Mathematics |
| Credit Points | 3 |
| Level | Postgraduate |
| Start Date | 19 Jan 2026 |
| End Date | 10 Apr 2026 |
| Enrollment Ends | 02 Feb 2026 |
| Exam Registration Ends | 20 Feb 2026 |
| Exam Date | 26 Apr 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Unlock the Power of Multivariate Data with IIT Kharagpur's Premier Course
In today's data-centric world, the ability to extract meaningful insights from complex, multidimensional datasets is a superpower. Whether you're an engineer optimizing a process, a scientist validating a hypothesis, or a manager making strategic decisions, multivariate statistical modeling is the key to informed, data-driven action. For those seeking to master this critical skill set, the National Programme on Technology Enhanced Learning (NPTEL) offers an exceptional resource: the "Applied Multivariate Statistical Modeling" course by Prof. Jhareswar Maiti from the prestigious Indian Institute of Technology (IIT) Kharagpur.
Meet Your Instructor: A Renowned Expert in Analytics
Learning complex subjects is best done from the best. This course is taught by Prof. Jhareswar Maiti, PhD, a distinguished professor in the Department of Industrial & Systems Engineering at IIT Kharagpur. With over 15 years of teaching, research, and consulting experience, Prof. Maiti is a leading authority in Safety Analytics, Quality Analytics, and Engineering Ergonomics.
His impressive credentials include supervising numerous PhD candidates, publishing over 70 papers in reputed journals, and executing industry-sponsored research projects, such as a major safety analytics project funded by MHRD and Tata Steel. His deep practical experience ensures that the course content is not just theoretically sound but also grounded in real-world application.
Course Overview: What Will You Learn?
This comprehensive 12-week postgraduate-level course is designed to build your confidence in analyzing and interpreting multivariate data. It moves beyond basic statistics to equip you with the tools needed to handle real-world data complexity.
The primary objectives of the course are to:
- Guide you in identifying real-life problems and collecting relevant data.
- Link data generation processes to statistical distributions.
- Develop multivariate statistical models to understand variable relationships.
- Provide step-by-step procedures for parameter estimation and model validation.
- Teach you to interpret model results for effective problem-solving.
Detailed Course Curriculum: A 12-Week Journey
The course is meticulously structured to take you from foundational concepts to advanced modeling techniques. Here is the week-by-week breakdown:
| Week | Topics Covered | Assignment |
|---|---|---|
| Week 1 | Introduction to Multivariate Statistical Modelling | Assignment - 1 |
| Week 2 | Univariate Descriptive Statistics; Sampling Distribution | Assignment - 2 |
| Week 3 | Estimation; Hypothesis Testing | Assignment - 3 |
| Week 4 | Multivariate Descriptive Statistics | Assignment - 4 |
| Week 5 | Multivariate Normal Distribution | Assignment - 5 |
| Week 6 | Analysis of Variance (ANOVA) | Assignment - 6 |
| Week 7 | Multivariate Analysis of Variance (MANOVA) | Assignment - 7 |
| Week 8 | Multiple Linear Regression (MLR): Introduction, Sampling, & Adequacy Checking | Assignment - 8 |
| Week 9 | MLR: Test of Assumption, and Diagnostic Study | Assignment - 9 |
| Week 10 | Principal Component Analysis (PCA): Introduction, Estimation, Adequacy, & Interpretation | Assignment – 10 |
| Week 11 | Factor Analysis (FA): Introduction, Estimation, Adequacy, Factor Rotation, & Factor Scores | Assignment – 11 |
| Week 12 | Structural Equation Modeling (SEM): Introduction, Measurement Model, & Structural Model | Assignment – 12 |
Who Should Enroll in This Course?
This course is ideally suited for a wide range of students and professionals looking to solidify their data analysis capabilities:
- Students: BTech/BE/MTech/ME/MS/MSc/PhD/MBA/PGDBM in Data Science, Engineering, Management, Economics, Mathematics, and other sciences.
- Professionals: Data Scientists, Engineers, Academicians, Managers, Economists, Policy Makers, and Administrators.
Prerequisite: A basic knowledge of probability and statistics is required to get the most out of this advanced course.
Recommended Textbooks for Deeper Learning
To complement the video lectures, Prof. Maiti recommends several authoritative texts, including:
- Applied Multivariate Statistical Analysis by R.A. Johnson and D.W. Wichern (6th Ed.)
- Multivariate Data Analysis by Hair, Anderson, Tatham, and Black (5th Ed.)
- Principal Component Analysis by I.T. Jolliffe (2nd Ed.)
Why Choose This NPTEL Course?
This course stands out as a premier learning opportunity for several reasons:
- World-Class Instruction: Learn from an IIT professor with extensive research and industry experience.
- Structured & Comprehensive: Covers from basics to advanced techniques like SEM in a logical progression.
- Practical Application: Focus on real-world problem-solving and model interpretation.
- Free & Accessible: The full 42-lecture series is available for free on the NPTEL YouTube channel.
- Career Relevance: The skills taught are in high demand across data science, engineering, and management roles.
If you're ready to move beyond univariate analysis and harness the true potential of your multidimensional data, this Applied Multivariate Statistical Modeling course is your definitive guide. Enroll today and take a significant step towards becoming an expert in data-driven decision-making.
Enroll Now →